MacBook Pro (13-inch, 2022)
Geekbench ML Score
3845
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 07 2024 06:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1373
256.9 IPS |
|
|
Image Classification (F16)
|
100% |
2508
469.2 IPS |
|
|
Image Classification (I8)
|
99% |
2505
468.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
858
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1115
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1037
17.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6539
7.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
14232
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14214
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1341
100.1 IPS |
|
|
Object Detection (F16)
|
100% |
2202
164.4 IPS |
|
|
Object Detection (I8)
|
97% |
1434
107.1 IPS |
|
|
Face Detection (F32)
|
100% |
3082
36.6 IPS |
|
|
Face Detection (F16)
|
97% |
5560
66.1 IPS |
|
|
Face Detection (I8)
|
97% |
5576
66.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5678
44.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11696
90.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11673
90.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17151
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
27778
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
28057
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4194
149.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5117
182.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5075
181.2 IPS |
|
|
Text Classification (F32)
|
100% |
2036
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3309
4.76 KIPS |
|
|
Text Classification (I8)
|
96% |
3337
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
1385
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1636
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1340
24.7 IPS |
